Title: STACK: Smart, Attack Resistant Internet of Things Networks<\/p>\n\n\n\n
Authors: Thiemo Voigt, Joakim Eriksson, Niclas Finne, Joel H\u00f6glund, Nicolas Tsiftes, Saptarshi Hazra, RISE, Sweden
Tomas Jonsson, Zhitao He, ASSA ABLOY, Sweden
Johannes Arvidsson, LumenRadio, Sweden
Anders Mattsson, Husqvarna, Sweden
George Suciu, Mari-Anais Sachian, Sorina Mitroi BEIA, Romania
Pusik Park, KETI, South Korea
JeongGil Ko, Yonsei University, South Korea
Youngki Lee, Seoul National University, South Korea
Kyung mo Kim, Security Platform, South Korea<\/p>\n\n\n\n
Abstract: This white paper presents an overview of the STACK project. The goal of STACK is to let IoT networks maintain their functionality in both benign environments and more challenging situations, such as when IoT networks are under attack or exposed to harsh radio environments and cross-technology interference. Solving these challenges will enable a new class of IoT applications that provide a certain Quality of Service (QoS), even when under attack. Our major innovations towards this goal include more robust IoT communication, attack detection and mitigation by performance and interference monitoring and smart algorithms that leverage a tight integration of IoT devices with a smart edge. In this white paper we present an overview of the project. We motivate why the STACK project focuses on wireless IoT mesh networks. We briefly present potential attacks on such networks and discuss why machine learning is important to detect attacks and intrusions. Finally, we present one of the early results of our project: Multi-Trace, a tool that is able to generate traces that can be used to train machine learning algorithms for attack and intrusion detection.<\/p>\n\n\n\n